Results 121 to 130 of about 4,793,633 (336)
Model-Order Reduction of Multistage Cascaded Models for Digital Predistortion
This paper explores the benefits of utilizing multistage cascaded (CC) behavioral models for digital predistortion (DPD) linearization of wideband high-efficiency power amplifiers (PAs).
Raul Criado +5 more
doaj +1 more source
Efficient Analysis of Structures with Rotatable Elements Using Model Order Reduction [PDF]
This paper presents a novel full-wave technique which allows for a fast 3D finite element analysis of waveguide structures containing rotatable tuning elements of arbitrary shapes.
G. Fotyga, K. Nyka
doaj
Model order reduction of thermo-mechanical models with parametric convective boundary conditions: focus on machine tools. [PDF]
Hernández-Becerro P +2 more
europepmc +1 more source
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge +17 more
wiley +1 more source
Model order reduction with applications [PDF]
Model order reduction is an integral approach to solving high-dimensional systems of ordinary and partial differential equations. As the needs for processing large amounts of data, resulting in high-order models, are only increasing, this approach will understandably stay relevant. Reduced basis methods are discussed, with the focus being on the proper
openaire
Nonlinear Multi-Scale Model Order Reduction of Eddy-Current Problems
Hamed Eskandari +2 more
openalex +2 more sources
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
Modified student psychology-based optimization based model order reduction of power system
This paper investigates a reduced order model of the power system using model order reduction (MOR) approach to analyze the performance and system efficacy.
Ranadip Roy +3 more
doaj +1 more source
Methods of Model Order Reduction for Coupled Systems Applied to a Brake Disc‐Wheel Composite [PDF]
Fabian Matter +3 more
openalex +1 more source

